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Preprints.org · March 2026

Curriculum Agility and the Integration of Climate-Smart Agriculture in Higher Education Institutions in Northern Ghana

Rafiatu Umarayi Alhassan, Constance Bwire, Latifatu Nsuisong Alhassan, Victor Nimortimi Nagbija

Institute for the Advanced Study of Sustainability (UNU-IAS), United Nations University, Tokyo

Case studyContent analysisThematic analysis Education

How they used Delve

Researchers at the United Nations University Institute for the Advanced Study of Sustainability, with colleagues at the University of Education Winneba and the University of Cape Coast, used Delve to organise and code two agricultural degree curricula and eight interviews with curriculum developers, testing how far climate-smart agriculture is integrated into higher education in Northern Ghana.

“DELVE software was employed to assist in organising and coding curriculum data. Codes were cross-referenced to ensure reliability, and themes were used to compare the extent to which climate change content was systematically integrated into each programme.”

Field
Higher agricultural education and curriculum evaluation; climate-smart agriculture in Northern Ghana
Data
Curriculum documents for two programmes - a BTech Sustainable Agriculture (64 courses over 8 semesters) and a BSc Agribusiness (53 courses over 10 trimesters) - plus eight semi-structured interviews (four per institution, ~40 minutes each) with curriculum developers holding MPhil or PhD qualifications, conducted February 2023
Approach
Case study of two programmes guided by the CIPP (Context-Input-Process-Product) evaluation model, combining thematic content analysis (Braun and Clarke, 2006) of official curriculum documents against eleven modules drawn from the FAO Climate-Smart Agriculture Sourcebook with analysis of interviews with curriculum developers; codes were cross-referenced for reliability
Data types
Documents, Interviews

Abstract

Purpose: Agriculture in Northern Ghana faces increasing vulnerability to climate change, requiring higher education institutions (HEIs) to equip graduates with climate-smart agriculture (CSA) competencies. This study examines the curricula of InstituteA and InstituteB to assess their capacity to integrate CSA principles and prepare students for climate-resilient agriculture. Design/Methodology/Approach: Guided by the Context–Input–Process–Product (CIPP) evaluation model and the FAO Climate-Smart Agriculture Sourcebook, data were collected through qualitative curriculum analysis and eight semi-structured interviews with curriculum developers. Findings: CSA integration is fragmented, inconsistently embedded, and largely peripheral in both institutions. While InstituteA’s BSc Agribusiness programme prioritises entrepreneurship and management with only two climate-related electives, InstituteB’s BTech Sustainable Agriculture programme includes indirect references to climate variability but lacks an explicit and coherent climate change framework. Cross-cutting themes such as gender, ICT, indigenous knowledge, and energy conservation are either absent or weakly integrated. Practical Implications: These gaps result in a mismatch between higher education outputs and the competencies required for climate adaptation, highlighting the need for systematic CSA mainstreaming, interdisciplinary curriculum reform, and improved institutional support. Theoretical Implications: The findings contribute to scholarship on curriculum agility by demonstrating how structural and policy constraints limit effective climate change integration in agricultural education within climate-vulnerable contexts. Originality/Value: This study provides empirical evidence from Northern Ghana, offering one of the first structured evaluations of CSA integration in higher agricultural education in the region.

Citation

Rafiatu Umarayi Alhassan, Constance Bwire, Latifatu Nsuisong Alhassan, Victor Nimortimi Nagbija (2026). Curriculum Agility and the Integration of Climate-Smart Agriculture in Higher Education Institutions in Northern Ghana. Preprints.org. https://doi.org/10.20944/preprints202603.1793.v1

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